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Finish line (nearly)

We are very close to the finish line $-$ that’s being able to finally submit the BCEA book to the editor (Springer).This has been a rather long journey, but I think the current version (I dread using the word “final” just yet…) is very good, I think. We’ve managed to respond to all the reviewers’ comments, which to be fair were rather helpful and so this should have improved the book. Anna and Andrea have done very good work and I didn’t even have to play the bad, control freak guy to have them prepare their bits quickly $-$ in fact, I think at several points, I’ve been late in doing mine…

Here’s the (somewhat simplified to only sections and sub-sections) table of content:

Bayesian analysis in health economics

Introduction

Bayesian inference and computation

Basics of health economic evaluation

Doing Bayesian analysis and health economic evaluation in R

Case studies

Introduction

Preliminiaries: computer configuration

Vaccine

Smoking cessation

BCEA – a R package for Bayesian Cost-Effectiveness Analysis

Introduction

Economic analysis: the bcea function

Basic health economic evaluation: the summary command

Cost-effectiveness plane

Expected Incremental Benefit

Contour plots

Health economic evaluation for multiple comparators and the efficiency frontier

Probabilistic Sensitivity Analysis using BCEA

Introduction

Probabilistic sensitivity analysis for parameter uncertainty

Value of information analysis

PSA applied to model assumptions and structural uncertainty

BCEAweb: a user-friendly web-app to use BCEA

Introduction

BCEAweb: a user-friendly web-app to use BCEA

Throughout the book we use a couple of examples of full Bayesian modelling and the relevant R code to run the analysis and then use BCEA to do the “final part” of the cost-effectiveness analysis.

We’ve tried to avoid unnecessary complications in terms of maths, but we do include explanations and formulae when necessary. It was difficult to strike a balance for the audience $-$ especially as it was complicated to define what the audience would be… I think we’re aiming for statisticians who want to get to work in health economic evaluations and health economists who need to use more principled statistical methods and software (I couldn’t resist in several points moving my tanks to invade Excelland and replace the local government with R officials...).

The final chapter also present and discuss the use of graphical front-ends to R-based models (eg as in SAVI) $-$ we have a BCEA front-end too. I think these may be helpful, but they can’t replace making people in the “industry” more familiar with full modelling and away from spreadsheets and stuff (these work when the models are simple. But the models that are required are not very often that simple…).

We also present lots of work on value of information (including our recent work), which is also linked to our short course. May be it’s time to link BMHE and this to do a long course… (there’s more on this to come!)